In this case it is more a feature being called a bug
I agree, it's a massive issue. It's a very complex topic that most people have no way of understanding. It is superb at generating text, and that makes it look smarter than it actually is, which is really dangerous. I think the creators of these models have a responsibility to communicate what these models can and can't do, but unfortunately that is not profitable.
It's not circular. LLMs cannot be fluent because fluency comes from an understanding of the language. An LLM is incapable of understanding so it is incapable of being fluent. It may be able to mimic it but that is a different thing. (In my opinion)
It's not a bug, it's a natural consequence of the methodology. A language model won't always be correct when it doesn't know what it is saying.
How is it wrong? First it makes some assumptions about the question and answers the typical version of the riddle. Then it answers the trivial version where there are no additional items. Seems like a complete and reasonable response to me.
Because if we weren't then no class would ever learn anything, as the teaching would move at a glacial pace and cover material that isn't relevant until you start on your PhD.
Meta holds the record for the largest gdpr fine at 1,2 billion euro.
It's easier to nitpick than it is to interact with the actual argument.
I agree with you. The headline is misleading, and I think it devalues the article.
Shrinkflation still happens, you just get to watch two numbers go up now.
It is somewhat US specific since the US is more dependent on cars than a lot of European places for example. That makes it harder to make changes that impact car owners negatively.
There is not enough activity to sustain niche communities.